Metadata-Version: 2.0
Name: PYCage
Version: 0.2.0
Summary: Develop and run your Python applications in clean Docker environments
Home-page: https://github.com/macostea/cage
Author: Mihai Costea
Author-email: mihai.andrei.costea@icloud.com
License: MIT
Keywords: setuptools deployment installation distutils docker
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Libraries
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.5
Requires-Dist: docker-py

Cage
====

Develop and run your Python applications in clean Docker environments
Cage aims to be as easy to use and as familiar as possible.

Requirements
------------

-  Docker
-  Python 3.5+

Installation
------------

.. code:: bash

    $ pip install pycage 

Usage
-----

NOTE: Docker should be running before using any of the Cage commands.
All commands should be run from your project directory!

Create a new cage
~~~~~~~~~~~~~~~~~

.. code:: bash

    $ cage app:create <name_of_your_cage>

This command will create a new Dockerfile in the root your project and
initialize all the necessary environment files.

Activate the new environment
~~~~~~~~~~~~~~~~~~~~~~~~~~~~

.. code:: bash

    $ source <name_of_your_cage>/bin/activate

This command should be very familiar to
`virtualenv <https://virtualenv.pypa.io/en/stable/>`__ users. This
adjusts your environment to make sure you use the caged python binaries.

Run your project
~~~~~~~~~~~~~~~~

.. code:: bash

    (<name_of_your_cage>)$ python <file.py>

Running a script with the caged python binary will build a new Docker
image with your project files, create a new container using that image
and run the python command you specified.

Passing environment variables
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

You can pass environment variables to the cage by creating a **ENV**
file in the root of your project. The file structure should be
VAR=VALUE.

Example:

::

    AVAR=value1
    BVAR=value2

You can also place this file anywhere in your project. If it is not in
the root of your project you can specify the path to it by passing the
ENV variable when running a python script.

.. code:: bash

    (<name_of_your_cage>)$ ENV=path/to/ENV python <file.py>

Expose a TCP Port
~~~~~~~~~~~~~~~~~

To expose a TCP port from the cage, use the PORT environment variable
defined in your ENV file.

Example:

::

    PORT=5000

Specifying it in the ENV file will also make it available in the cage so
you can bind your apps to it easily.

Working with requirements
~~~~~~~~~~~~~~~~~~~~~~~~~

The current version of Cage only supports dependencies **written in a
requirements file**:

.. code:: bash

    (<name_of_your_cage>)$ pip install -r requirements.txt

You *cannot* use any other pip commands with this version. This includes
simple pip install commands like:

.. code:: bash

    (<name_of_your_cage>)$ pip install <dependency>

Stop a cage
~~~~~~~~~~~

.. code:: bash

    (<name_of_your_cage>)$ cage app:stop <name_of_your_cage>

Deactivating the environment
~~~~~~~~~~~~~~~~~~~~~~~~~~~~

.. code:: bash

    (<name_of_your_cage)$ deactivate

This will return your environment to the state it was in before
activating the Cage environment.

Caveats
-------

1. **THIS IS A WORK IN PROGRESS. DO NOT USE THIS IF YOU DON'T KNOW WHAT
   YOU ARE DOING**
2. You can **only** use pip with a requirements file. No other pip
   commands are supported
3. You can only expose **ONE TCP** port from the container and it will
   be mapped to the same port number on the host
4. Tested only on OSX and Linux

License
-------

Cage is released under the MIT license. See LICENSE for details.

Contact
-------

Follow me on twitter [@mcostea](https://twitter.com/mcostea)


